Job Responsibilities:
- Support & lead partnerships with key Operations stakeholders and Operations Product groups with strong understanding of business drivers, underlying data and processes
- Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
- Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
- Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to improve business function performance.
- Creating self-serve tools to put real-time information in the hands of decision-makers
Required Qualifications, Skills and Capabilities:
- Bachelor’s / Master's Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field with 5+ years of data science experience
- Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
- Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts
- Experience delivering analytics solutions under strict timelines quick turn-around time
- Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
- Hands-on experience with standard data analytics tools and technologies ( at least four of SQL, Python, SAS, Tableau, Alteryx)
- Proven track record in solving business problems through fact-based and scientific analytics, like to focus on solving problems
- Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives
- Recognize the stories in the data and tell them in ways that illuminate which customers are likely to do what next
- Are comfortable summarizing key information and presenting recommendations to multiple stakeholders to influence senior management
- Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency
Preferred Qualification, Skills and capabilities:
- Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms.
- Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies
- Are a lifelong learner and hold a growth mindset; we welcome individuals who geek out on industry podcasts, stay abreast of cutting edge techniques, and love to share what they are learning with the rest of the team